A specific, falsifiable number is inherently easier for a language model to extract and repeat than a superlative adjective, because it can be checked. Auditing your homepage and product pages for vague claims and swapping them for real figures - pricing, limits, counts - directly increases how often that page gets quoted rather than paraphrased away.
Why it matters for AEO. LLMs strongly prefer to quote concrete, falsifiable claims ("tracks 50-500 prompts across 4 LLMs", "$19/mo Starter plan") over vague marketing language ("industry-leading", "powerful"), because concrete numbers are easier to extract and lower-risk to repeat.
How to do it
- Replace vague superlatives on your homepage and product pages with specific numbers: pricing, plan limits, response times, supported integrations, dataset sizes.
- Attribute non-obvious stats to a source - your own data, or a named study - so the model can cite it with confidence instead of treating it as an unverifiable claim.
- Keep a single source of truth for frequently cited numbers, such as pricing, and update it everywhere at once - contradictory numbers across pages actively suppress citation.
- Search your own site for words like "leading", "best-in-class", and "powerful", and replace at least the homepage instances with a real number or fact.
How to verify. Grep your site copy for superlatives and confirm each has been replaced, or paired, with a specific number.
Example
"Runs 50-500 of your prompts across ChatGPT, Claude, Perplexity,
and Gemini on a schedule" instead of
"the most powerful AI visibility platform".